Evidence map›Paper›PMID 23587307›Full record

ArticleBMC systems biology2013

Construction and analysis of the protein-protein interaction network related to essential hypertension.

Jihua Ran, Hui Li, Jianfeng Fu, Ling Liu, Yanchao Xing, Xiumei Li, Hongming Shen, Yan Chen, Xiaofang Jiang, Yan Li and 1 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 73 citations in OpenAlex.

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  14. Protein-protein interaction network of celiac disease.Gastroenterology and hepatology from bed to bench · 2016
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Jihua RanBasic Medicine School, Xinjiang Medical University, Urumqi, Xinjiang, China.
Hui Li
Jianfeng Fu
Ling Liu
Yanchao Xing
Xiumei Li
Hongming Shen
Yan Chen
Xiaofang Jiang
Yan Li
Huiwu Li
Xinjiang Medical University · CNUrumqi General Hospital of PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEssential hypertension (EH) is a complex disease as a consequence of interaction between environmental factors and genetic background, but the pathogenesis of EH remains elusive. The emerging tools of network medicine offer a platform to explore a complex disease at system level. In this study, we aimed to identify the key proteins and the biological regulatory pathways involving in EH and further to explore the molecular connectivities between these pathways by the topological analysis of the Protein-protein interaction (PPI) network.

resultThe extended network including one giant network consisted of 535 nodes connected via 2572 edges and two separated small networks. 27 proteins with high BC and 28 proteins with large degree have been identified. NOS3 with highest BC and Closeness centrality located in the centre of the network. The backbone network derived from high BC proteins presents a clear and visual overview which shows all important regulatory pathways for blood pressure (BP) and the crosstalk between them. Finally, the robustness of NOS3 as central protein and accuracy of backbone were validated by 287 test networks.

conclusionOur finding suggests that blood pressure variation is orchestrated by an integrated PPI network centered on NOS3.

Indexed as

Blood PressureComputational BiologyGenetic Association StudiesHumansHypertensionNitric Oxide Synthase Type IIIProtein Interaction MapsNitric Oxide Synthase Type IIINOS3 protein, human

Identifiers

PMID23587307
PMCPMC3641020
OpenAlexW2069953052

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.